企业机密信息网络传输泄露优化检测仿真研究

发布时间：2018-12-19 09:40

【摘要】：对企业机密信息网络传输泄露检测方法的研究,能够有效提高机密信息的安全系数。对信息传输泄露检测方法进行优化,需要提取企业机密信息属性特征变量,来完成泄露检测。传统方法将泄露信息静态与动态污点检测相融合,确定信息类型,但无法获取泄露信息具体属性特征,导致检测结果精准度低。提出基于小波分析理论的企业机密信息网络传输泄露检测方法。融合于小波分析理论获取不同属性的机密信息特征,提取企业机密信息网络传输泄露属性特征变量,结合数值分析理论计算出以积分上下限形式描述的企业机密信息特征变量的数值积分,并确定企业机密信息泄漏点,完成企业机密信息检测,实验结果表明,所提改进方法可实现在高效率的基础上对企业机密信息网络传输泄露检测保持较低的误检率和漏检率,具有较强的鲁棒性。
[Abstract]:The research on the detection method of network transmission leakage of enterprise confidential information can effectively improve the security factor of confidential information. To optimize the method of information transmission leak detection, it is necessary to extract the attribute characteristic variables of enterprise confidential information to complete the leak detection. The traditional method combines static and dynamic stain detection of leaked information to determine the type of information, but it can not obtain the specific attributes of leaked information, which leads to the low accuracy of the detection results. Based on wavelet analysis theory, a method for detecting the leakage of enterprise confidential information transmission in network is proposed. Fusion of wavelet analysis theory to obtain different attributes of confidential information features, extract enterprise confidential information network transmission leakage attribute feature variables, Combined with the theory of numerical analysis, the numerical integration of the characteristic variables of the enterprise confidential information described in the form of the upper and lower limits of the integration is calculated, and the leakage point of the enterprise confidential information is determined to complete the detection of the enterprise confidential information. The experimental results show that, The improved method can maintain low false detection rate and missed detection rate on the basis of high efficiency and has strong robustness.
【作者单位】：中原工学院信息商务学院;
【分类号】：TP393.08

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